DP-100 Question #489: Real Exam Question with Answer & Explanation

Question

You create an Azure Machine Learning workspace. You must use the Python SDK v2 to implement an experiment from a Jupyter notebook in the workspace. The experiment must log string metrics. You need to implement the method to log the string metrics. Which method should you use?

Options

• Amlflow.log_artifact()
• Bmlflow.log.dict()
• Cmlflow.log_metric()
• Dmlflow.log_text()

Explanation

{"question_number": 7, "question": "You create an Azure Machine Learning workspace. You must use the Python SDK v2 to implement an experiment from a Jupyter notebook. The experiment must log string metrics. You need to implement the method to log the string metrics. Which method should you use?", "correct_answer": "D. mlflow.log_text()", "explanation": "'mlflow.log_text(text, artifact_file)' logs a string value as a text artifact, making it the correct choice for recording string data. 'mlflow.log_metric()' only accepts numeric (float) values and will raise an error if passed a string. 'mlflow.log_artifact()' uploads a local file path, not an in-memory string. 'mlflow.log.dict()' uses incorrect dot notation - the valid method is 'mlflow.log_dict()', which logs a dictionary as a JSON/YAML artifact, not a plain string.", "generated_by": "claude-sonnet", "llm_judge_score": 3}

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